Which AI models can the Apple M4 Max (36GB) run?
Every model we track, checked against the Apple M4 Max (36GB) at 8K context. The largest that runs well is Qwen3.6 35B-A3B.
Unified memory36 GB24.1 GB usable by the GPU
Bandwidth410GB/s
Runs well48/69models at Q4_K_M or better
Fastest model~164tok/s · Qwen3 0.6B
Every model on the Apple M4 Max (36GB)
Bars show memory used out of 24.1 GB. Pick a row for the full breakdown.
48 Runs well
NameMemory usedBest quantSpeed
Qwen3.6 35B-A3B36BQ4_K_M · 22.6 GB~135 tok/s
Qwen2.5 32B33BQ4_K_M · 22.6 GB~12 tok/s
DeepSeek R1 Distill Qwen 32B33BQ4_K_M · 22.6 GB~12 tok/s
Qwen3 32B33BQ4_K_M · 22.6 GB~12 tok/s
QwQ 32B33BQ4_K_M · 22.6 GB~12 tok/s
Qwen2.5 Coder 32B33BQ4_K_M · 22.6 GB~12 tok/s
Nemotron 3 Nano 30B-A3B32BQ5_K_M · 23.1 GB~99 tok/s
Gemma 4 31B31BQ5_K_M · 24 GB~11 tok/s
GLM-4.7 Flash 30B-A3B31BQ5_K_M · 23.2 GB~115 tok/s
Qwen3 30B-A3B31BQ5_K_M · 23.1 GB~105 tok/s
Qwen3 Coder 30B-A3B31BQ5_K_M · 23.1 GB~105 tok/s
Qwen3.8 27B28BQ6_K · 23.9 GB~11 tok/s
Qwen3.6 27B28BQ6_K · 23.9 GB~11 tok/s
Gemma 3 27B27BQ5_K_M · 21.2 GB~13 tok/s
Gemma 2 27B27BQ5_K_M · 22.3 GB~13 tok/s
Gemma 4 26B-A4B26BQ6_K · 22 GB~79 tok/s
Mistral Small 3.2 24B24BQ6_K · 21.6 GB~13 tok/s
Mistral Small 24B24BQ6_K · 21.3 GB~13 tok/s
Devstral Small 24B24BQ6_K · 21.3 GB~13 tok/s
Magistral Small 24B24BQ6_K · 21.3 GB~13 tok/s
gpt-oss 20B21BQ8_0 · 23 GB~64 tok/s
Qwen3 14B15BQ8_0 · 17.7 GB~16 tok/s
Qwen2.5 Coder 14B15BQ8_0 · 17.9 GB~16 tok/s
DeepSeek R1 Distill Qwen 14B15BQ8_0 · 17.9 GB~16 tok/s
Qwen2.5 14B15BQ8_0 · 17.8 GB~16 tok/s
Phi-4 14B15BQ8_0 · 17.9 GB~16 tok/s
Phi-4 Reasoning 14B15BQ8_0 · 17.9 GB~16 tok/s
Mistral Nemo 12B12BQ8_0 · 14.9 GB~19 tok/s
Gemma 3 12B12BQ8_0 · 14.4 GB~19 tok/s
Gemma 4 12B12BQ8_0 · 13.7 GB~19 tok/s
Gemma 2 9B9.2BFP16 · 21.2 GB~13 tok/s
Qwen3 8B8.2BFP16 · 18.2 GB~15 tok/s
DeepSeek R1 0528 Qwen3 8B8.2BFP16 · 18.2 GB~15 tok/s
Granite 3.3 8B8.2BFP16 · 18.3 GB~15 tok/s
Llama 3.1 8B8BFP16 · 17.7 GB~15 tok/s
Qwen2.5 7B7.6BFP16 · 16.3 GB~16 tok/s
Qwen2.5 Coder 7B7.6BFP16 · 16.3 GB~16 tok/s
DeepSeek R1 Distill Qwen 7B7.6BFP16 · 16.3 GB~16 tok/s
Mistral 7B v0.37.3BFP16 · 16.2 GB~17 tok/s
Gemma 3 4B4.3BFP16 · 9.5 GB~29 tok/s
Qwen3 4B4BFP16 · 9.8 GB~31 tok/s
Phi-4 Mini 3.8B3.8BFP16 · 9.4 GB~32 tok/s
Phi-3.5 Mini 3.8B3.8BFP16 · 11.5 GB~32 tok/s
Llama 3.2 3B3.2BFP16 · 8 GB~38 tok/s
Qwen3 1.7B2BFP16 · 5.6 GB~61 tok/s
Llama 3.2 1B1.2BFP16 · 3.3 GB~99 tok/s
Gemma 3 1B1BFP16 · 2.6 GB~123 tok/s
Qwen3 0.6B0.8BFP16 · 3 GB~164 tok/s
20 Too big
NameMemory usedBest quantSpeed
Kimi K3.1 Pro 2.8T-A104B2800Bneeds 1698.3 GB24.1 GB free
Qwen3.8 2.4T-A95B2446Bneeds 1484.3 GB24.1 GB free
DeepSeek V4 Pro 1.6T-A49B1600Bneeds 971.2 GB24.1 GB free
Mistral Large 4 1T-A52B1000Bneeds 607.5 GB24.1 GB free
DeepSeek V4.1 Flash763Bneeds 463.4 GB24.1 GB free
GLM-5.3753Bneeds 457.8 GB24.1 GB free
GLM-5 744B-A40B744Bneeds 452.4 GB24.1 GB free
MiniMax M3 428B-A23B427Bneeds 260.5 GB24.1 GB free
GLM-5.3 Flash 320B-A18B321Bneeds 195.3 GB24.1 GB free
DeepSeek V4 Flash 284B-A13B284Bneeds 173 GB24.1 GB free
Qwen3 235B-A22B235Bneeds 144.7 GB24.1 GB free
Qwen3.8 Flash Next180Bneeds 109.9 GB24.1 GB free
gpt-oss 120B117Bneeds 71.7 GB24.1 GB free
Llama 4 Scout 17B-16E109Bneeds 68.3 GB24.1 GB free
GLM-4.5-Air 106B-A12B106Bneeds 66.4 GB24.1 GB free
Qwen3 Coder Next 80B-A3B80Bneeds 49.1 GB24.1 GB free
Qwen2.5 72B73Bneeds 47.4 GB24.1 GB free
Llama 3.1 70B71Bneeds 46.1 GB24.1 GB free
Llama 3.3 70B71Bneeds 46.1 GB24.1 GB free
DeepSeek R1 Distill Llama 70B71Bneeds 46.1 GB24.1 GB free
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